JP7608745B2 - How to record and apply adjustment range - Google Patents

Description

The present invention relates to a method for recording and implementing an adjustment range.

For example, when tiling an exterior wall, construction records are created and kept. In addition, as construction records, the adjustment area (also called repair area) where a base adjustment coating material has been applied to the base concrete is recorded. Conventionally, workers would visually observe the adjustment area and make a hand-drawn sketch, or take a photograph of the adjustment area, and then record the position and area of the adjustment area based on the sketch or photograph.

In relation to recording the position and range of adjustment locations, Patent Document 1 describes how, when recording the diagnosis results of exterior wall tiles, an image of the wall surface on which the worker has recorded the diagnosis result information (e.g., a discrimination symbol written in chalk) is photographed, and the photographed image of the wall surface is analyzed to record the position of the diagnosis result information.

JP 2014-134470 A

According to Patent Document 1, it is possible to reduce the workload of an inspector when diagnosing a diagnosis target part on a wall surface. However, for example, when recording the adjustment range adjusted based on the diagnosis, the worker still needs to sketch or photograph the adjustment area and manually record the position and range of the adjustment area on the elevation drawing. For this reason, there has been a demand for reducing the workload when recording the adjustment range.

Some embodiments of the present invention aim to reduce the workload involved in recording the adjustment range of the exterior walls of a structure.

Some embodiments of the present invention are a method for recording an adjustment range that includes a photographing step of photographing a concrete wall surface using a photographing device, a display step of displaying an image of an elevation view of the wall surface on a display device, an allocating step of allocating the image of the wall surface photographed by the photographing device onto the image of the elevation view, and a recording step of identifying an area in which the material is used from the image of the wall surface photographed by the photographing device and recording the adjustment range of the wall surface based on the identified area , wherein the adjustment range includes an area where a base adjustment coating material has been applied and an area where the base adjustment coating material will be applied, and wherein the recording step extracts the adjustment range indicating the color of the base adjustment coating material by performing a binarization process on the image data based on the difference in saturation between the base and the base adjustment coating material .

Other features of the present invention will become clear from the following description and drawings.

Some embodiments of the present invention can reduce the workload involved in recording the adjustment range of the exterior walls of a structure.

FIG. 1 is a flow diagram of a construction method for exterior wall tiling according to the first embodiment. FIG. 2 is an explanatory diagram of the hardware configuration of the adjustment and recording system 100 of the first embodiment. 3A and 3B are perspective views of the imaging device 1 constituting the adjustment and recording system 100 of the first embodiment. FIG. 4 is a functional block diagram of the adjustment and recording device 10 constituting the adjustment and recording system 100 of the first embodiment. FIG. 5 is a flow diagram of a method for recording the adjustment range according to the first embodiment. 6A and 6B are explanatory diagrams showing how the wall surface 3 is photographed. FIG. 7 is an explanatory diagram of an image of an elevation view displayed on the display device 13. As shown in FIG. FIG. 8 is a flow diagram of the processing of allocating the processed image in S106. FIG. 9 is an explanatory diagram of how the size and position of a processed image superimposed on an elevation image is adjusted. FIG. 10 is a flow diagram of the adjustment range recording process in S107. Fig. 11A is an explanatory diagram of the state in which the organic base preparation coating material of the first embodiment is applied to the base. Fig. 11B is an explanatory diagram of the state in which the organic base preparation coating material of the same color as the base is applied to the base. Fig. 11C is an explanatory diagram of the binarized image of the wall surface of Fig. 11A. FIG. 12 is an explanatory diagram of a state in which an image of the adjustment range is allocated onto an image of an elevation view. FIG. 13 is an explanatory diagram of a state in which images of the adjustment range are allocated to all wall surfaces 3 as the construction target, and is an explanatory diagram of a record diagram of the adjustment range. 14A and 14B are diagrams illustrating a comparison of the operation time between the adjustment range recording method of the first embodiment and the adjustment range recording method of the comparative example. FIG. 15 is a flow diagram of an area calculation process for calculating the area of the adjustment range. FIG. 16 is an explanatory diagram of how the reference length L on the elevation drawing is set. FIG. 17 is an explanatory diagram of another example of a recording diagram of the adjustment range. FIG. 18 is a flow diagram of a method for recording the adjustment range according to the second embodiment. Fig. 19A is an explanatory diagram of the state in which the adjustment range is surrounded by the masking tape of this embodiment. Fig. 19B is an explanatory diagram of the state in which the adjustment range is surrounded by the masking tape of the same color as the base. Fig. 19C is an explanatory diagram of the binarized image of the wall surface of Fig. 19A.

At least the following points become clear from the description in the specification and drawings described below.

A method of recording an adjustment range is clarified that includes a photographing step of photographing a concrete wall surface on which a material for base adjustment has been used using a photographing device, a display step of displaying an image of an elevation view of the wall surface on a display device, an allocating step of allocating the image of the wall surface photographed by the photographing device onto the image of the elevation view, and a recording step of identifying an area in which the material is used from the image of the wall surface photographed by the photographing device and recording an adjustment range of the wall surface based on the identified area. This method of recording an adjustment range can reduce the workload when recording the adjustment range of the exterior wall of a structure.

It is preferable that the imaging device is a 360-degree camera. This allows a wide imaging range to be ensured even on narrow footing.

In the recording step, it is desirable to record a record drawing in which an image of the adjustment range is allocated on top of the image of the elevation drawing. This can reduce the workload when recording the adjustment range of the exterior wall of a structure.

In the recording step, it is desirable to calculate the area of the adjustment range. This can reduce the workload when recording the adjustment range of the exterior wall of the structure.

In the recording step, it is desirable to set a reference length in the elevation drawing, and calculate the area of the adjustment range based on the reference length, the scale ratio of the image of the wall surface assigned to the image of the elevation drawing, and the number of pixels of the area corresponding to the adjustment range in the image of the wall surface. This can reduce the workload when recording the adjustment range of the exterior wall of a structure.

The material is an organic base adjustment coating material containing a chromatic color pigment, and in the recording step, it is desirable to extract the area where the base adjustment coating material is applied from the image of the wall surface captured by the imaging device, thereby forming the adjustment range. This can improve the accuracy of recording the adjustment range.

In the adjustment work step, the material is a chromatic tape that is affixed to the wall surface so as to surround the portion of the wall surface to be adjusted, and in the recording step, it is desirable to identify the area of the tape from the image of the wall surface captured by the imaging device, and to define the area surrounded by the area of the tape as the adjustment range. This can improve the accuracy of recording the adjustment range.

A construction method is clarified that includes a base adjustment step of adjusting the base of a concrete wall surface using a material for base adjustment, and a tiling step of laying tiles on the wall surface after the base adjustment step, and includes a photographing step of photographing the wall surface using a photographing device in the base adjustment step, a display step of displaying an image of an elevation view of the wall surface on a display device, an allocating step of allocating the image of the wall surface photographed by the photographing device on the image of the elevation view, and a recording step of identifying an area where the material is used from the image of the wall surface photographed by the photographing device and recording the adjustment range of the wall surface based on the identified area. According to such a construction method, the workload when recording the adjustment range of the exterior wall of a structure can be reduced.

First Embodiment
<Exterior wall tiling installation method>
FIG. 1 is a flow diagram of a construction method for exterior wall tiling according to the first embodiment.

First, the concrete wall surface that will serve as the base is inspected (S001). In this inspection process, the surface condition of the base is confirmed, and any areas of the base that require adjustment (areas that should be adjusted) are identified. In addition, pre-processing such as cleaning is performed on the surface of the base as necessary.

Next, the base is adjusted in the area where it needs to be adjusted (S002). In the following description, the range in which the base is adjusted may be referred to as the "adjustment range." Note that the "adjustment range" includes both the area where the base adjustment coating material has been applied (see particularly the first embodiment) and the area where the base adjustment coating material will be applied (see particularly the second embodiment). Note that the base adjustment may be referred to as "repair," and the "adjustment range" may be referred to as the "repair range." In this embodiment, when the base is adjusted (S002), the adjustment range is recorded. The method of recording the adjustment range will be described later.

After the base is adjusted (S002), tiles are laid on the concrete wall surface (S003). In this embodiment, after the tiles are laid, the joints are filled (S004). The joint filling involves filling the gaps between the tiles with joint material.

<How to record the adjustment range>
Adjustment record system 100
2 is an explanatory diagram of the hardware configuration of the adjustment and recording system 100 of the first embodiment. In the following, the adjustment and recording system 100 used to realize each process (various processes in FIG. 5 and the like to be described later) performed in recording the adjustment range described above (adjusting the base: S002) will be described.

The adjustment recording system 100 includes a photographing device 1 and an adjustment recording device 10.

The imaging device 1 is a device (camera) for photographing a concrete wall surface. The imaging device 1 in this embodiment is a so-called 360-degree camera. However, the imaging device 1 is not limited to a 360-degree camera, and may be, for example, a camera equipped with a fisheye lens or a hemispherical camera.

When recording the adjustment range, a worker may photograph the wall surface from a narrow scaffold (see Figures 6A and 6B described later). When a worker photographs the wall surface from a narrow scaffold, the distance between the wall surface and the imaging device 1 becomes narrow. If a camera with a narrower angle of view than the 360-degree camera of this embodiment is used, it is necessary to photograph the wall surface from an oblique angle or to take multiple photographs while moving the scaffold laterally. However, in this embodiment, by using a 360-degree camera as the imaging device 1, a wide imaging range can be secured even on a narrow scaffold. This makes it possible to photograph the wall surface from the front even on a narrow scaffold. Therefore, in this embodiment, by using a 360-degree camera as the imaging device 1, it is possible to easily photograph the wall surface, and the workload of the imaging work when recording the adjustment range of the outer wall of the structure can be reduced.

Figures 3A and 3B are perspective views of the image capture device 1 constituting the adjustment and recording system 100 of the first embodiment. The 360-degree camera (image capture device 1) of this embodiment is composed of a plate-shaped housing. Figure 3A shows one side (front side) of the housing of the image capture device 1, and Figure 3B shows the other side (back side) of the housing of the image capture device 1. As shown in Figures 3A and 3B, the image capture device 1 is provided with wide-angle lenses 2 on both the front and back sides. This allows the image capture device 1 to capture images in all directions, up, down, left, and right, all at once. However, the image capture device 1 may have a lens 2 arrangement and configuration other than those shown in Figures 3A and 3B.

The adjustment recording device 10 is configured by a computer such as a personal computer or a server. The adjustment recording device 10 may be configured by one computer or multiple computers. The adjustment recording device 10 (computer) has a CPU 11 and a storage device 12. The CPU 11 is an arithmetic processing device that controls the adjustment recording device 10. The storage device 12 is a main storage device such as a RAM or an auxiliary storage device such as a hard disk drive or SSD (Solid State Drive). The storage device 12 stores programs, data, etc. The CPU 11 reads and executes the programs stored in the storage device 12 to perform various processes described below. The adjustment recording device 10 also includes a display device 13 (e.g., a display) and an input device 14 (e.g., a keyboard, a mouse). The adjustment recording device 10 also includes a communication device 15, and is capable of acquiring image data from the imaging device 1 via the communication device 15.

Figure 4 is a functional block diagram of the adjustment recording device 10 that constitutes the adjustment recording system 100 of the first embodiment.

The adjustment recording device 10 has a control unit 20 and a data storage unit 30.

The control unit 20 controls various processes to be performed by the adjustment and recording device 10. The control unit 20 is realized by the CPU 11 executing a control program stored in the storage device 12 to perform various controls. The control unit 20 has an image acquisition unit 21, an image processing unit 22, an allocation processing unit 23, and an adjustment and recording unit 24. Each function will be described later.

The data storage unit 30 is a storage unit for storing predetermined data. The various data stored in the data storage unit 30 will be described later.

5 is a flow diagram of the adjustment range recording method of the first embodiment. Each process in the diagram (each process of S103 to S107 in the first embodiment) is executed by the CPU 11 reading and executing the adjustment and recording program stored in the storage device 12 of the adjustment and recording device 10.

In the method for recording the adjustment range of this embodiment, first, a base adjustment coating material is applied to the area of the base to be adjusted (S101). After the base adjustment coating material is applied, an operator uses the imaging device 1 to take an image of the wall surface (S102).

Figures 6A and 6B are explanatory diagrams of how the wall surface 3 is photographed. Figure 6A is an explanatory diagram of how the wall surface 3 is photographed when viewed from the right to the left of the worker, and Figure 6B is an explanatory diagram of how the wall surface 3 is photographed when viewed from above and below the worker.

As shown in Figures 6A and 6B, the worker photographs the wall surface 3 from atop a narrow scaffold. For example, the height inside the scaffold (dimension A) is about 1700 mm, and the width inside the scaffold (dimension B) is, for example, 600 mm or 900 mm. The distance between the scaffold and the wall surface 3 (dimension C) is 500 mm or less, the photographing height (dimension D) is 800 to 1500 mm, and the distance between the wall surface 3 and the photographing device 1 (dimension E) is equal to or less than the sum (dimension B + dimension C) of the width inside the scaffold (dimension B) and the distance between the scaffold and the wall surface 3 (dimension C). Here, the worker photographs the wall surface 3 using a 360-degree camera as the photographing device 1 as described above, and can photograph an area of at least 1800 mm wide x 1800 mm high of the wall surface 3 in one photograph.

The photographed wall surface 3 includes the adjustment range where the above-mentioned base adjustment coating material has been applied. In the first embodiment, as described below, the adjustment range is recorded based on the image data of the photographed wall surface 3.

In this embodiment, the worker continuously photographs the wall surface 3 multiple times while moving along the wall surface 3. Note that photographing the wall surface 3 multiple times also includes taking a video while moving along the wall surface 3. The worker continuously photographs the wall surface 3 multiple times so that at least a portion of the wall surface 3 overlaps. Here, the worker photographs the video while moving along the wall surface 3. The video data includes multiple still images (frames) that are photographed so that at least a portion of the wall surface 3 overlaps. However, the continuous photographing of the wall surface 3 is not limited to video shooting, and multiple still image shooting may also be used. The data (image data) of the image of the wall surface 3 photographed by the photographing device 1 is imported into the adjustment recording device 10.

After photographing the wall surface 3 as described above (S102), the image data of the wall surface 3 photographed by the photographing device 1 is imported into the adjustment and recording device 10 (S103). The image acquisition unit 21 of the adjustment and recording device 10 stores the image data stored in the photographing device 1 in the data storage unit 30 as original image data. The original image data includes multiple still images. Furthermore, at least some of the images of the wall surface 3 overlap among the multiple still images included in the original image data.

Next, the image processing unit 22 of the adjustment recording device 10 performs image processing on the original image data to generate image data (processed image data) of one wall surface 3 (S104). Specifically, the image processing unit 22 performs distortion correction processing (e.g., a wide-angle correction filter) on each of the multiple still images included in the original image, and then performs a combining process (e.g., mosaicing) to combine the multiple still images into one image using overlapping parts of the multiple distortion-corrected still images. This generates data (processed image data) of a panoramic image of the horizontally long wall surface 3. In the following description, this panoramic image (processed image) of the wall surface 3 may be simply called a "processed image". Note that the process of S104 is not limited to performing the combining process after the distortion correction process. For example, the order of the distortion correction process and the combining process may be reversed, the distortion correction process and the combining process may be performed simultaneously, or other processes (e.g., trimming process, etc.) may be performed.

Next, the allocation processing unit 23 of the adjustment recording device 10 reads out the elevation data previously stored in the data storage unit 30, and displays the image of the elevation on the display device 13 (S105). Figure 7 is an explanatory diagram of the image of the elevation displayed on the display device 13. The elevation includes an image of a drawing of the wall surface.

Next, the allocation processing unit 23 performs an allocation process for allocating the processed image to the elevation drawing (S106). FIG. 8 is a flow diagram of the allocation process of the processed image in S106. The allocation process of the processed image is executed by the CPU 11 reading and executing the adjustment recording program stored in the storage device 12.

In the allocation process of the processed image, the allocation processing unit 23 reads out the processed image data created in S104 and displays the processed image superimposed on the image of the elevation (S201). FIG. 9 is an explanatory diagram of the state of adjusting the size and position of the processed image superimposed on the image of the elevation. However, at the stage of S201, the size and position of the wall surface shown in the elevation and the size and position of the wall surface 3 in the processed image data are in a state of mismatch. Therefore, as shown in FIG. 9, the worker operates the input device 14 (e.g., a mouse) of the adjustment recording device 10 to adjust the size and position of the processed image displayed on the display device 13 so that the processed image is aligned with the wall surface on the elevation displayed on the display device 13 (S202). In other words, the allocation processing unit 23 adjusts the size and position of the processed image in response to the signal from the input device 14 (S202). As a result, the processed image is allocated to a predetermined position on the image of the elevation.

Next, the adjustment range recording process is performed (S107). FIG. 10 is a flow diagram of the adjustment range recording process of S107. The adjustment range recording process is performed by the CPU 11 reading and executing an adjustment recording program stored in the storage device 12. In the adjustment range recording process, first, the allocation processing unit 23 performs an adjustment range extraction process (S301).

In the adjustment range extraction process of S301, the area where the material for base adjustment is used is identified from the processed image described above. In this embodiment, the area where the base adjustment coating material is applied is extracted from the processed image described above.

Figure 11A is an explanatory diagram of the state in which an organic base adjustment coating material of the first embodiment is applied to a base. Figure 11B is an explanatory diagram of the state in which an organic base adjustment coating material of a similar color to the base is applied to the base. Figure 11C is an explanatory diagram of the binarized image of the wall surface of Figure 11A.

In the first embodiment, an organic base adjustment coating material is used as the base adjustment coating material. The organic base adjustment coating material is a base adjustment coating material whose main component is a resin such as modified silicone resin. However, the resin constituting the main component is not limited to modified silicone resin, and other resins (e.g. urethane resin) may also be used. The base adjustment coating material of this embodiment contains a chromatic color pigment.

As shown in FIG. 11B, typical organic base preparation coating materials are designed to be the same color (gray or white) as the base concrete. The reason for making the base concrete and base preparation coating material the same color (gray) is to make the base preparation coating material less noticeable even if it is visible through the tile joints. For this reason, typical organic base preparation coating materials contain gray coloring pigments so that they are the same color (gray) as the base concrete. However, if the base concrete and base preparation coating material are the same color (gray), the color difference between the base (concrete) and the base preparation coating material will be small, as shown in FIG. 11B.

In contrast, the organic base adjustment coating material of the first embodiment contains color pigments of chromatic colors such as red, blue, and yellow. As a result, when the base adjustment coating material is applied, the color difference between the base and the base adjustment coating material becomes large, as shown in FIG. 11A. Note that the organic base adjustment coating material of this embodiment does not contain gray color pigments in order to increase the color difference with the base. By not including gray color pigments in the organic base adjustment coating material of this embodiment, the saturation of the base adjustment coating material can be increased. In this embodiment, since the color difference between the base and the base adjustment coating material becomes large, the adjustment range can be extracted with high precision by performing binarization processing on the image of the wall surface (see FIG. 11C).

By the way, even if the lightness (or luminance) of the base adjustment coating material is made different (given a difference) with respect to the color of the base, it is possible to increase the color difference between the base and the base adjustment coating material. However, if only the lightness of the base adjustment coating material is different from the color of the base, it may be difficult to distinguish the base and the base adjustment coating material based on the color difference when a shadow (for example, a shadow of scaffolding) is formed on the wall surface. In contrast, in the first embodiment, the difference in saturation (chroma difference) between the base and the base adjustment coating material is large. Therefore, in the first embodiment, even when a shadow (for example, a shadow of scaffolding) is formed on the wall surface, it is easy to distinguish the base and the base adjustment coating material based on the chroma difference. Therefore, in the first embodiment, in order to increase the chroma difference with respect to the achromatic color (gray) of the concrete that serves as the base, a chromatic color pigment such as red, blue, or yellow is contained in the base adjustment coating material.

In the adjustment range extraction process (S301), specifically, the allocation processing unit 23 performs binarization processing on the processed image data so as to separate the area showing the color of the concrete base from the area showing the color of the base adjustment coating material in the processed image, and extracts the area showing the color of the base adjustment coating material. The area showing the color of the base adjustment coating material is the area where the base adjustment coating material is applied, that is, it corresponds to the adjustment range. In other words, the allocation processing unit 23 extracts the adjustment range of the wall surface 3 by extracting the area where the base adjustment coating material is applied from the image of the concrete wall surface 3. The allocation processing unit 23 may perform the extraction processing of S301 before the allocation processing of the processed image in S106. However, as in this embodiment, the extraction processing of S301 is performed after the allocation processing of the processed image in S106, making it easier to allocate the adjustment range on the elevation drawing.

In this embodiment, the concrete base is achromatic (gray), whereas the base adjustment coating material contains chromatic pigments, so that the area where the base adjustment coating material is applied is chromatic, such as red, blue, or yellow. As a result, the color difference between the base and the base adjustment coating material becomes large (see FIG. 11A), and in particular the saturation difference becomes large. Therefore, the allocation processing unit 23 of this embodiment calculates the saturation of each pixel of the processed image data, and performs binarization processing of the processed image data by comparing the saturation of each pixel with a predetermined saturation threshold value. For example, by performing binarization processing on the image of the wall surface of FIG. 11A, the binarized image shown in FIG. 11C can be generated. In FIG. 11C, pixels with a saturation higher than the threshold value are shown in black, and pixels with a saturation lower than the threshold value are shown in white. As shown in FIG. 11C, the area with a saturation higher than the threshold value (area composed of black pixels) is the area showing the color of the base adjustment coating material, and shows the area where the base adjustment coating material is applied (adjustment range). In addition, in the binarization process, pixels with a higher saturation than the threshold value may be displayed in white, and pixels with a lower saturation than the threshold value may be displayed in black. In this way, in this embodiment, the area (adjustment range) showing the color of the base adjustment coating material can be extracted with high accuracy.

Even if a shadow (e.g., the shadow of scaffolding) is reflected in the image of the wall surface 3, the saturation difference between the base and the base-adjusting coating material in the image data is maintained at a large level. Therefore, even if a shadow (e.g., the shadow of scaffolding) is reflected in the image of the wall surface 3, the allocation processing unit 23 can perform binarization processing of the processed image data based on the saturation difference, thereby extracting with high accuracy the area (adjustment range) showing the color of the base-adjusting coating material.

In addition, image identification processing using AI may be performed during the extraction processing of S301. In this case, a large amount of data that associates images of the wall surface coated with the base adjustment coating material with the adjustment range is used as learning data, and a judgment model is generated in advance by machine learning using the learning data, with the image of the wall surface coated with the base adjustment coating material as input data and the adjustment range as output data. Then, during the extraction processing of S301, the allocation processing unit 23 uses the above-mentioned processed image data as input data and determines the adjustment range corresponding to the processed image data based on the judgment model. In this way, the allocation processing unit 23 may extract the adjustment range by performing image identification processing using AI instead of binarization processing during the extraction processing of S301.

Next, the allocation processing unit 23 allocates the image of the adjustment range to a predetermined position on the image of the elevation by superimposing the extracted image of the adjustment range on the image of the elevation as shown in FIG. 12 (S302). The image of the adjustment range to be superimposed on the elevation may be the image of the adjustment range on the processed image data (color image before binarization), the image after binarization (image composed of black pixels), or an image with hatching applied to the area indicating the adjustment range. The allocation processing unit 23 repeats the processes of S201 to S202 and S301 to S302 as necessary. Here, the allocation processing unit 23 repeats the processes of S201 to S202 and S301 to S302 for the wall surface 3 on the first floor, and then repeats the processes of S201 to S202 and S301 to S302 for the wall surfaces 3 on the other floors. As a result, the image of the adjustment range is allocated to all the wall surfaces 3 to be constructed, as shown in FIG. 13.

Finally, the adjustment recording unit 24 of the adjustment recording device 10 generates a record drawing of the adjustment range (S303). Here, the drawing data shown in FIG. 13 (drawing data in which an image of the adjustment range is assigned to an elevation drawing) is saved in the data storage unit 30 as a record drawing of the adjustment range (record drawing of the repair range). Note that, although there is no obligation to report the application area for organic base adjustment coating materials, the adjustment recording unit 24 may record the area of the adjustment range as a record of the adjustment range, as described below.

Figures 14A and 14B are diagrams showing a comparison of the work time between the adjustment range recording method of the first embodiment and the adjustment range recording method of the comparative example.

In the comparative example, the worker makes a hand-drawn sketch while visually observing the adjustment area, and then photographs the adjustment area and records the position and range of the adjustment area based on the sketch and photograph. In contrast, in the present embodiment, a 360-degree camera (photography device 1) is used to photograph the adjustment area, and the adjustment range of the wall surface is recorded based on the area where the material for base adjustment (in the first embodiment, the base adjustment coating material) is used (in the first embodiment, the area where the base adjustment coating material is applied). This makes it possible to reduce the time required for handwriting in the comparative example (24 hours in this case) and also to reduce the time required for record creation (46.5 hours in this case). In other words, the workload when recording the adjustment range of the exterior wall of a structure can be reduced.

Figure 15 is a flow diagram of the area calculation process for calculating the area of the adjustment range. Figure 16 is an explanatory diagram of how the reference length L on the elevation drawing is set. The area calculation process is performed by the CPU 11 reading and executing the adjustment recording program stored in the storage device 12.

The area calculation unit 24A sets the reference length L on the elevation drawing as shown in FIG. 16 (S401). Since various dimensions of the construction object are set in advance on the elevation drawing, the worker operates the input device 14 (e.g., a mouse) of the adjustment and recording device 10 to set a reference length (reference length) according to the dimension lines written on the elevation drawing, and sets the dimension (actual dimension) corresponding to the reference length. Here, as shown in FIG. 16, the reference length L is set along the horizontal direction of the wall surface, and the actual dimension (e.g., L = 16000 mm) corresponding to the reference length L is set. Note that instead of the worker operating the input device 14 to set the reference length L, the area calculation unit 24A may set the reference length L by analyzing the image of the elevation drawing.

Next, the area calculation unit 24A determines the scale ratio R of the processed image relative to the elevation drawing (S402). Specifically, the area calculation unit 24A determines the scale ratio R of the processed image (the processed image after adjustment in S202) relative to the elevation drawing.

Next, the area calculation unit 24A determines the size S1 of the adjustment range on the processed image (S403). For example, the area calculation unit 24A determines the number of pixels in the area of the adjustment range on the processed image (the area on the processed image where the base adjustment coating material is applied; the "high saturation area" in FIG. 11C) as the size S1 of the adjustment range on the processed image.

Next, the area calculation unit 24A calculates the actual area S2 of the adjustment range based on the reference length L, the scale ratio R, and the size S1 (S404). Specifically, since the area (unit: m2 or mm2) corresponding to one pixel on the processed image is determined based on the reference length L and the scale ratio R, the area calculation unit 24A calculates the actual area S2 (unit: m2 or mm2) of the adjustment range area based on the number of pixels (S1) of the adjustment range area on the processed image. Note that since there are usually multiple adjustment ranges, the area calculation unit 24A repeatedly performs the processes of S403 and S404 for each adjustment range.

Figure 17 is an explanatory diagram of another example of a recording diagram of adjustment ranges. The adjustment recording unit 24 assigns an identification number to each adjustment range and records the area of each adjustment range in association with it. Note that the adjustment recording unit 24 can assign an identification number to each adjustment range by, for example, performing a labeling process on the adjustment range on the processed image. The adjustment recording unit 24 may record the area of the adjustment range as shown in Figure 17 as a record of the adjustment range.

Second Embodiment
<Exterior wall tiling installation method>
FIG. 18 is a flow diagram of a method for recording the adjustment range according to the second embodiment.

In the second embodiment, the adjustment range of the base material adjustment (S002) shown in FIG. 1 is recorded differently from that of the first embodiment. Note that, apart from the base material adjustment (S002), the procedure is the same as that of the exterior wall tiling shown in FIG. 1.

When recording the adjustment range in the second embodiment, the worker first applies masking tape to the base so as to surround the adjustment range (S501).

Figure 19A is an explanatory diagram of the state in which the adjustment range is surrounded by masking tape of this embodiment. Figure 19B is an explanatory diagram of the state in which the adjustment range is surrounded by masking tape of a similar color to the base.

As shown in Figure 19B, in the case of transparent masking tape (or white masking tape), the masking tape will be the same color (gray; achromatic) as the underlying concrete. However, if the masking tape is the same color (gray) as the underlying concrete, the color difference between the underlying concrete and the masking tape will be small, as shown in Figure 19B.

In contrast, the masking tape of the second embodiment is composed of a chromatic color tape, such as green or yellow. That is, the masking tape of the second embodiment is composed of a base material and an adhesive material, and the base material is composed of a chromatic color material, such as green or yellow. This increases the color difference between the base material and the masking tape, as shown in FIG. 19A. In the second embodiment, since the color difference between the base material and the masking tape is large, it is possible to extract the adjustment range with high accuracy by performing a binarization process on the image of the wall surface (see FIG. 19C, described later).

By the way, it is possible to increase the color difference between the base and the masking tape by making the brightness (or luminance) of the masking tape different (giving a difference) from the color of the base. However, if only the brightness of the masking tape differs from the color of the base, it may be difficult to distinguish the base and the masking tape based on the color difference when a shadow (for example, a shadow of scaffolding) is formed on the wall surface. In contrast, in the second embodiment, the difference in saturation (chroma difference) between the base and the masking tape is large. Therefore, in the second embodiment, even when a shadow (for example, a shadow of scaffolding) is formed on the wall surface, it is easy to distinguish the base and the masking tape by the chroma difference. Therefore, in the second embodiment, a chromatic masking tape such as green or yellow is used to increase the chroma difference from the achromatic color (gray) of the base concrete.

After the adjustment range is surrounded by masking tape (S501), the worker uses the imaging device 1 (e.g., a camera) to capture an image of the wall surface (S502). The imaging process of S502 is similar to S102 in the first embodiment (see FIG. 5). However, in the case of the second embodiment, the wall surface 3 that is imaged includes the adjustment range surrounded by the masking tape described above. In the second embodiment, the wall surface 3 is imaged before the base adjustment material is applied to the adjustment range, and the adjustment range is recorded based on the image data of the wall surface 3 captured at this time.

The configuration of the adjustment and recording system 100 of the second embodiment is the same as that of the first embodiment (see Figures 2 to 4). Also, in the second embodiment, as in the first embodiment, the adjustment and recording device 10 executes each process in the figure (each process of S503 to S507 in the second embodiment) by the CPU 11 reading and executing the adjustment and recording program stored in the storage device 12. Also, in the second embodiment, as in the first embodiment, the adjustment and recording device 10 executes each process shown in Figures 8 and 10 during the allocation process of S506 and the adjustment range recording process of S507.

In the second embodiment, as in the first embodiment, image data of the wall surface 3 photographed by the photographing device 1 is imported into the adjustment recording device 10 (S503), image processing is performed on the original image data to generate image data of one piece of the wall surface 3 (processed image data) (S504), elevation data previously stored in the data storage unit 30 is read, and an image of the elevation is displayed on the display device 13 (S505). Also in the second embodiment, as in the first embodiment, allocation processing is performed to allocate the processed image to the elevation (S506).

In the second embodiment, the allocation processing unit 23 also performs a recording process of the adjustment range (S507). In the recording process of the adjustment range in S507, similar to S301 in the first embodiment, the allocation processing unit 23 performs an extraction process of the adjustment range. In the extraction process of the adjustment range in the second embodiment, an area in which material for adjusting the base is used is identified from the processed image. In this embodiment, an area where masking tape is applied is identified from the above-mentioned processed image. Then, based on the area where masking tape is applied, it is extracted as the adjustment range of the wall surface 3.

In the second embodiment, the allocation processing unit 23 performs binarization processing on the processed image data so as to separate the area showing the color of the concrete base from the area showing the color of the masking tape in the image shown by the processed image data, and extracts the area showing the color of the masking tape. The area showing the color of the masking tape is the area where the masking tape is applied. Therefore, the area surrounded by the area showing the color of the masking tape (the area inside the area showing the color of the masking tape; the "low saturation area" inside the "high saturation area" in FIG. 19C) corresponds to the adjustment range. Therefore, the allocation processing unit 23 identifies the area showing the color of the masking tape from the image of the concrete wall surface 3, and extracts the area surrounded by the area showing the color of the masking tape as the adjustment range of the wall surface 3. Note that in the second embodiment, as in the first embodiment, the allocation processing unit 23 may perform the extraction processing before the allocation processing of the processed image in S506.

In the second embodiment, the concrete base is achromatic (gray), whereas the masking tape is chromatic, such as red, blue, or yellow. As a result, the color difference between the base and the masking tape becomes large (see FIG. 19A), and in particular the saturation difference becomes large. Therefore, the allocation processing unit 23 of the second embodiment calculates the saturation of each pixel of the processed image data, and performs binarization processing of the processed image data by comparing the saturation of each pixel with a predetermined saturation threshold. For example, by performing binarization processing on an image of the wall surface of FIG. 19A, a binarized image shown in FIG. 19C can be generated. In FIG. 19C, pixels with a saturation higher than the threshold are shown in black, and pixels with a saturation lower than the threshold are shown in white. As shown in FIG. 19C, the area with a saturation higher than the threshold (area composed of black pixels) is an area showing the color of the masking tape, and the area inside that area (area composed of white pixels) shows the adjustment range. In addition, in the binarization process, pixels with a saturation higher than the threshold value may be displayed in white, and pixels with a saturation lower than the threshold value may be displayed in black. In this way, in the second embodiment, the adjustment range can be extracted with high accuracy.

In the second embodiment, even if a shadow (e.g., the shadow of scaffolding) is reflected in the image of the wall surface 3, the saturation difference between the base and the masking tape in the image data is maintained at a large level. Therefore, even if a shadow (e.g., the shadow of scaffolding) is reflected in the image of the wall surface 3, the allocation processing unit 23 can perform binarization processing of the processed image data based on the saturation difference, thereby accurately determining the area showing the color of the masking tape, and as a result, the adjustment range can be extracted with high accuracy.

After applying the base adjustment coating material to the wall surface 3, the wall surface 3 to which the base adjustment coating material has been applied can be photographed, and the photographed image can be analyzed to extract the adjustment range by performing binarization processing on the processed image data so as to separate the area showing the color of the concrete base from the area showing the color of the base adjustment coating material. However, when a cement-based base adjustment coating material is used as in the second embodiment, the color difference between the concrete and the base adjustment coating material is small, so it is difficult to perform binarization processing to separate the area showing the color of the concrete base from the area showing the color of the base adjustment coating material, and as a result, there is a risk of misrecognizing the adjustment range. In contrast, in the second embodiment, the masking tape is made of a chromatic color, and the color difference (especially the saturation difference) between the base and the masking tape is increased, so that the area showing the color of the masking tape can be accurately identified, and the adjustment range can be extracted with high accuracy.

In the second embodiment, the allocation processing unit 23 also allocates the image of the adjustment range to a predetermined position on the image of the elevation by overlaying the extracted image of the adjustment range on the image of the elevation, as shown in FIG. 12. Also in the second embodiment, the allocation processing unit 23 also repeats the processes of S201 to S202 and S301 to S302 as necessary. As a result, in the second embodiment, the image of the adjustment range is allocated to all wall surfaces 3 to be constructed, as shown in FIG. 12.

In the second embodiment, after the extraction process, the adjustment recording unit 24 of the adjustment recording device 10 generates a record diagram of the adjustment range. Then, the base adjustment coating material is applied to the area of the base to be adjusted (S508).

In this embodiment, as in the first embodiment, a 360-degree camera (photography device 1) is used to photograph the adjustment area, and the adjustment range of the wall surface is recorded based on the area where the material for base adjustment (base adjustment coating material in the first embodiment) is used (area where masking tape is applied in the second embodiment). This makes it possible to reduce the time required for handwriting in the comparative example described above, and also to shorten the time required for record creation. In other words, the workload when recording the adjustment range of the exterior wall of a structure can be reduced.

In the second embodiment, as in the first embodiment, the adjustment record unit 24 may record the area of the adjustment range as the adjustment range record (see Figs. 15 to 17). In the first embodiment described above, the area calculation unit 24A specified the number of pixels in the area of the adjustment range on the processed image (the area on the processed image where the base adjustment coating material is applied; the "high saturation area" in Fig. 2C) as the size S1 of the adjustment range on the processed image (S403). In contrast, in the second embodiment, the area calculation unit 24A may specify the number of pixels in the area of the adjustment range on the processed image (the area surrounded by the masking tape area on the processed image; the "low saturation area" inside the "high saturation area" in Fig. 19C) as the size S1 of the adjustment range on the processed image during the processing of S403. And in the second embodiment, as in the first embodiment, the area calculation unit 24A may calculate the actual area S2 of the adjustment range based on the reference length L, the scale factor R, and the size S1 during the processing of S403.

===Summary===
In the above-mentioned embodiment (first to second embodiment), the concrete wall surface 3 on which a material for adjusting the base (for example, an organic base adjustment coating material or a masking tape) is used is photographed using the photographing device 1 (for example, a 360-degree camera) in a photographing step (S102, S502), an elevation image of the wall surface 3 is displayed on the display device 13 in a display step (S105, S505), an allocation step (S106, S506) of allocating the image of the wall surface 3 photographed by the photographing device 1 on the elevation image, and a recording step (S107, S507) of identifying an area where a material is used from the image of the wall surface photographed by the photographing device 1 (for example, an area where a base adjustment coating material is applied or an area where a masking tape is attached) and recording the adjustment range of the wall surface 3 based on the identified area. In the above-mentioned embodiment, the time required for handwriting can be reduced when recording the adjustment range of the exterior wall of a structure. In addition, the time required for record creation can also be reduced when recording the adjustment range of the exterior wall of a structure. In other words, the workload when recording the adjustment range of the exterior wall of a structure can be reduced.

===Other===
The above-described embodiment is intended to facilitate understanding of the present invention, and is not intended to limit the present invention. The present invention may be modified or improved without departing from the spirit of the present invention, and it goes without saying that the present invention includes equivalents thereof.

1. Camera device, 2. Lens, 3. Wall surface,
10 Repair recording device, 11 CPU, 12 Storage device,
13 Display device, 14 Input device, 15 Communication device,
20 control unit, 21 image acquisition unit, 22 image processing unit,
23 allocation processing unit, 24 repair recording unit, 24A area calculation unit,
30 Data storage unit, 100 Repair record system

Claims (8)

A photographing step of photographing a concrete wall surface using a photographing device, the concrete wall surface having a material for extracting a base adjustment range being used;
a display step of displaying an image of the elevation of the wall on a display device;
an allocating step of allocating an image of the wall surface photographed by the photographing device onto the image of the elevation view;
A method for recording an adjustment range comprising: identifying an area in which the material is used from an image of the wall surface captured by the imaging device; and recording an adjustment range of the wall surface based on the identified area ,
The adjustment range includes the area where the base adjustment coating material has been applied and the area where the base adjustment coating material will be applied,
In the recording step, the adjustment range indicating the color of the base adjustment coating material is extracted by performing a binarization process on the image data based on the difference in saturation between the base and the base adjustment coating material. A method for recording an adjustment range . 2. A method for recording an adjustment range according to claim 1, comprising:
The method for recording an adjustment range, wherein the photographing device is a 360-degree camera. A method for recording the adjustment range according to claim 1 or 2, comprising:
A method for recording an adjustment range, comprising the step of recording a record drawing in which an image of the adjustment range is allocated on an image of the elevation drawing. A method for recording the adjustment range according to any one of claims 1 to 3, comprising:
A method for recording an adjustment range, comprising: calculating an area of the adjustment range in the recording step. 5. A method for recording an adjustment range according to claim 4, comprising the steps of:
A method for recording an adjustment range, characterized in that in the recording step, a reference length in the elevation drawing is set, and the area of the adjustment range is calculated based on the reference length, the scale ratio of the image of the wall surface assigned to the image of the elevation drawing, and the number of pixels of an area corresponding to the adjustment range in the image of the wall surface. A method for recording the adjustment range according to any one of claims 1 to 5,
The material is an organic base adjustment coating material containing a chromatic color pigment,
The adjustment range is a place where the base adjustment coating material is applied,
A method for recording an adjustment range, characterized in that in the recording step, the adjustment range is obtained by extracting the area to which the base adjustment coating material is applied from the image of the wall surface photographed by the photographing device. A method for recording the adjustment range according to any one of claims 1 to 5,
The material is a chromatic tape that is attached to the wall surface so as to surround the portion of the wall surface to be adjusted,
The adjustment range is a place where the base adjustment coating material will be applied,
A method for recording an adjustment range, characterized in that in the recording step, the area of the tape is identified from the image of the wall surface captured by the photographing device, and an area surrounded by the area of the tape is set as the adjustment range. A base adjustment step of adjusting the base of the concrete wall surface using an adjustment material that extracts an adjustment range of the base;
After the base preparation step, a tiling step is performed to lay tiles on the wall surface;
In the base adjustment step,
an imaging step of imaging the wall surface using an imaging device;
a display step of displaying an image of the elevation of the wall on a display device;
an allocating step of allocating an image of the wall surface photographed by the photographing device onto the image of the elevation view;
A construction method comprising: identifying an area in which the material is used from an image of the wall surface captured by the imaging device; and recording an adjustment range of the wall surface based on the identified area,
The adjustment range includes the area where the base adjustment coating material has been applied and the area where the base adjustment coating material will be applied,
A construction method characterized in that in the recording step, the adjustment range indicating the color of the base adjustment coating material is extracted by performing a binarization process on the image data based on the difference in saturation between the base and the base adjustment coating material .

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